Michael Bohlke-schneider
Machine Learning Science Manager at Amazon Web Services (AWS)
Seattle, Washington, Germany
Summary
🤩
Rockstar🎓
Top SchoolMichael Bohlke-Schneider is a Machine Learning Science Manager at AWS with a decade of experience building production-ready ML systems, particularly for time series forecasting and automation in fulfillment operations. He leads science teams that bridge AWS products and Amazon Fulfillment Technology, contributing to DeepAR in SageMaker and research such as resilient neural forecasting systems. Trained as a computational biologist with a summa cum laude PhD from TU Berlin and a background in structural proteomics and computational protein design, he brings uncommon cross-disciplinary rigor to ML problems. Michael combines hands-on engineering (senior software work with AWS tooling like Amplify) with academic research and curriculum design, making him fluent in both research and production constraints. He’s known for turning deep-learning advances into practical forecasting and automation solutions that scale in real-world logistics.
10 years of coding experience
11 years of employment as a software developer
PhD, Computer Science, With distinction (summa cum laude), PhD, Computer Science, With distinction (summa cum laude) at Technische Universität BerlinDiploma, Biology, With distinction, Diploma, Biology, With distinction at Ruhr-Universität Bochum
English, German
Github Skills (60)
aws-lambda10
amplify10
aws10
android-app10
android10
fastest10
aws-amplify10
cpython9
serverless9
embedded8
graphql8
kotlin8
flutter8
python8
android-library8
Programming languages (9)
Github contributions (5)
mikepschneider/platformio
Jul 2015 - Nov 2015
Contributions:54 pushes, 1 branch in 3 months
mikepschneider/circuitpy_ms
Feb 2018 - Jun 2018
Contributions:25 pushes, 1 branch in 3 months
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